Adaptation and Psychometric Properties of an Attitude toward Artificial Intelligence Scale (AIAS-4) among Peruvian Nurses
BACKGROUND: The integration of Artificial Intelligence (AI) into various aspects of daily life has sparked growing interest in understanding public attitudes toward this technology. Despite advancements in tools to assess these perceptions, there remains a need for culturally adapted instruments, pa...
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2024
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| author | Morales Garcia, Wilter Charming Sairitupa Sanchez, Liset Zenaida Morales-García, Sandra B. Morales García, Wilter Eyvi Mardel |
| author_browse | Morales Garcia, Wilter Charming Morales García, Wilter Eyvi Mardel Morales-García, Sandra B. Sairitupa Sanchez, Liset Zenaida |
| author_facet | Morales Garcia, Wilter Charming Sairitupa Sanchez, Liset Zenaida Morales-García, Sandra B. Morales García, Wilter Eyvi Mardel |
| author_sort | Morales Garcia, Wilter Charming |
| collection | Producción científica |
| description | BACKGROUND: The integration of Artificial Intelligence (AI) into various aspects of daily life has sparked growing interest in understanding public attitudes toward this technology. Despite advancements in tools to assess these perceptions, there remains a need for culturally adapted instruments, particularly in specific contexts like that of Peruvian nurses. OBJECTIVE: To evaluate the psychometric properties of the AIAS-4 in a sample of Peruvian nurses. METHODS: An instrumental design was employed, recruiting 200 Peruvian nurses. The Attitude toward Artificial Intelligence in Spanish (AIAS-S), a cultural and linguistic adaptation of the AIAS-4, involved data analysis using descriptive statistics, confirmatory factor analysis (CFA), and invariance tests. RESULTS: = 0.522, CFI = 1.00, TLI = 1.00, RMSEA = 0.00, SRMR = 0.00). The scale demonstrated high internal consistency (α = 0.94, ω = 0.91). Tests of invariance from configural to strict confirmed that the scale is stable across different demographic subgroups. CONCLUSIONS: The AIAS-S proved to be a psychometrically solid tool for assessing attitudes toward AI in the context of Peruvian nurses, providing evidence of validity, reliability, and gender invariance. This study highlights the importance of having culturally adapted instruments to explore attitudes toward emerging technologies in specific groups. |
| format | Article |
| id | oai:cris.upeu.edu.pe:20.500.15037/465 |
| institution | UPeU |
| language | English |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| record_format | dspace |
| spelling | oai:cris.upeu.edu.pe:20.500.15037/4652026-10-30T17:00:01ZAdaptation and Psychometric Properties of an Attitude toward Artificial Intelligence Scale (AIAS-4) among Peruvian NursesMorales Garcia, Wilter CharmingSairitupa Sanchez, Liset ZenaidaMorales-García, Sandra B.Morales García, Wilter Eyvi MardelArtificial intelligenceTechnologyAttitudesHealthcareAttitude Of Health PersonnelPsychometric EvaluationBACKGROUND: The integration of Artificial Intelligence (AI) into various aspects of daily life has sparked growing interest in understanding public attitudes toward this technology. Despite advancements in tools to assess these perceptions, there remains a need for culturally adapted instruments, particularly in specific contexts like that of Peruvian nurses. OBJECTIVE: To evaluate the psychometric properties of the AIAS-4 in a sample of Peruvian nurses. METHODS: An instrumental design was employed, recruiting 200 Peruvian nurses. The Attitude toward Artificial Intelligence in Spanish (AIAS-S), a cultural and linguistic adaptation of the AIAS-4, involved data analysis using descriptive statistics, confirmatory factor analysis (CFA), and invariance tests. RESULTS: = 0.522, CFI = 1.00, TLI = 1.00, RMSEA = 0.00, SRMR = 0.00). The scale demonstrated high internal consistency (α = 0.94, ω = 0.91). Tests of invariance from configural to strict confirmed that the scale is stable across different demographic subgroups. CONCLUSIONS: The AIAS-S proved to be a psychometrically solid tool for assessing attitudes toward AI in the context of Peruvian nurses, providing evidence of validity, reliability, and gender invariance. This study highlights the importance of having culturally adapted instruments to explore attitudes toward emerging technologies in specific groups.Articlehttps://pubmed.ncbi.nlm.nih.gov/38920769https://www.mdpi.com/2076-328X/14/6/437/pdf?version=1716455260https://doi.org/10.3390/bs14060437PMC1120083010.3390/bs14060437https://hdl.handle.net/20.500.15037/46538920769W4398337475enBehavioral Sciences2076-328X2024-05-232026-06-13T08:14:15Z2026-06-13T08:14:15Z |
| spellingShingle | Artificial intelligence Technology Attitudes Healthcare Attitude Of Health Personnel Psychometric Evaluation Morales Garcia, Wilter Charming Sairitupa Sanchez, Liset Zenaida Morales-García, Sandra B. Morales García, Wilter Eyvi Mardel Adaptation and Psychometric Properties of an Attitude toward Artificial Intelligence Scale (AIAS-4) among Peruvian Nurses |
| title | Adaptation and Psychometric Properties of an Attitude toward Artificial Intelligence Scale (AIAS-4) among Peruvian Nurses |
| title_full | Adaptation and Psychometric Properties of an Attitude toward Artificial Intelligence Scale (AIAS-4) among Peruvian Nurses |
| title_fullStr | Adaptation and Psychometric Properties of an Attitude toward Artificial Intelligence Scale (AIAS-4) among Peruvian Nurses |
| title_full_unstemmed | Adaptation and Psychometric Properties of an Attitude toward Artificial Intelligence Scale (AIAS-4) among Peruvian Nurses |
| title_short | Adaptation and Psychometric Properties of an Attitude toward Artificial Intelligence Scale (AIAS-4) among Peruvian Nurses |
| title_sort | adaptation and psychometric properties of an attitude toward artificial intelligence scale aias 4 among peruvian nurses |
| topic | Artificial intelligence Technology Attitudes Healthcare Attitude Of Health Personnel Psychometric Evaluation |
| topic_facet | Artificial intelligence Technology Attitudes Healthcare Attitude Of Health Personnel Psychometric Evaluation |
| url | https://pubmed.ncbi.nlm.nih.gov/38920769 https://www.mdpi.com/2076-328X/14/6/437/pdf?version=1716455260 https://doi.org/10.3390/bs14060437 https://hdl.handle.net/20.500.15037/465 |
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